Victoria's Secret (VSXY) Return on Capital Employed [ROCE] (2021 - 2026)
Victoria's Secret (VSXY) reported Return on Capital Employed [ROCE] of 15.43% for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 6.94 percentage points from 8.49% a year earlier and up 6.36 percentage points from the prior quarter.
Victoria's Secret (VSXY) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Victoria's Secret posted Return on Capital Employed [ROCE] of 8.30%, down 1.42 percentage points from FY2025.
- Return on Capital Employed [ROCE] has a four-year change of -25.31 percentage points (FY2022 to FY2026).
- By fiscal year, Return on Capital Employed [ROCE] came in at 9.71% in FY2025 (+1.63 pp), 8.09% in FY2024 (-8.12 pp), 16.21% in FY2023 (-17.40 pp) and 33.61% in FY2022.
- The fiscal Q2 2027 figure ranks as the highest quarterly Return on Capital Employed [ROCE] since fiscal Q4 2023.
- Year over year, Return on Capital Employed [ROCE] gained in four of the last eight quarters, with an average year-over-year change of +1.07 percentage points.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was fiscal Q1 2023 (a gain of 8.98 percentage points); the low point was fiscal Q4 2023 (a drop of 15.90 percentage points).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at 9.07% (Q1 2027), 7.60% (Q4 2026) and 8.98% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 11.49% |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 28.54% |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 34.00% |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 30.02% |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 30.97% |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 15.67% |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 18.45% |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 47.86% |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 33.85% |
| 10 | Victoria's Secret | 7.34 Bn | 5.91 Bn | 759.00 Mn | 15.43% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 15.43% |
| May 2, 2026 | 9.07% |
| Jan 31, 2026 | 7.60% |
| Nov 1, 2025 | 8.98% |
| Aug 2, 2025 | 8.49% |
| May 3, 2025 | 9.18% |
| Feb 1, 2025 | 9.22% |
| Nov 2, 2024 | 9.23% |
| Aug 3, 2024 | 9.29% |
| May 4, 2024 | 7.98% |
| Feb 3, 2024 | 8.12% |
| Oct 28, 2023 | 7.13% |
| Jul 29, 2023 | 11.15% |
| Apr 29, 2023 | 12.95% |
| Jan 28, 2023 | 16.82% |
| Oct 29, 2022 | 20.47% |
| Jul 30, 2022 | 24.13% |
| Apr 30, 2022 | 26.80% |
| Jan 29, 2022 | 32.73% |
| Oct 30, 2021 | 31.73% |
Victoria's Secret Return on Capital Employed [ROCE] API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=return-on-capital-employed-%5Broce%5D&ticker=VSXY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "VSXY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=return-on-capital-employed-%5Broce%5D&ticker=VSXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();